Extending the small molecule similarity principle to all levels of biology

作者: Miquel Duran-Frigola , Eduardo Pauls , Oriol Guitart-Pla , Martino Bertoni , Víctor Alcalde

DOI: 10.1101/745703

关键词: Drug discoveryChemical similarityBiological networkIdentification (biology)Small moleculeChemical descriptorsComputational biologySimilarity (network science)

摘要: We present the Chemical Checker (CC), a resource that provides processed, harmonized and integrated bioactivity data on 800,000 small molecules. The CC divides into five levels of increasing complexity, ranging from chemical properties compounds to their clinical outcomes. In between, it considers targets, off-targets, perturbed biological networks several cell-based assays such as gene expression, growth inhibition morphological profilings. CC, are expressed in vector format, which naturally extends notion similarity between similarities signatures different kinds. show how can boost performance drug discovery tasks typically capitalize descriptors, including target identification library characterization. Moreover, we demonstrate experimentally validate be used reverse mimic disease models genetic perturbations, options otherwise impossible using information alone.

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